Adaptive Intellectual Decision Support System for Assessing Changes in Information States of Objects in Cloud Computing Environments

Abstract

The purpose of monitoring the state of the objects of the cloud computing environment is to ensure their effective functioning. With the purpose of developing known statistical methods for monitoring the state of objects, a scientific approach is proposed that makes it possible to minimize errors of the 1st and 2nd kind when assessing the state of objects, compress large amounts of data without losing their informativeness based on the use of the Kulbak information measure. This approach largely allows satisfying the requirements for the implementation of known methods for monitoring the state of objects in the cloud computing environment. These requirements include: processing large amounts of current information to adjust the parameters of the control and management system; decision-making on the results of processing in real time; timely detection of possible precritical conditions of objects that may be associated with great economic damage or even catastrophic consequences.